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独立翻译双顺反子操纵子中的 ORFs,多顺反子叶绿体基因表达的合成构建块。

Independent translation of ORFs in dicistronic operons, synthetic building blocks for polycistronic chloroplast gene expression.

机构信息

Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854, USA.

Department of Plant Biology, Rutgers University, New Brunswick, NJ, 08901, USA.

出版信息

Plant J. 2020 Sep;103(6):2318-2329. doi: 10.1111/tpj.14864. Epub 2020 Jun 27.

Abstract

We designed a dicistronic plastid marker system that relies on the plastid's ability to translate polycistronic mRNAs. The identification of transplastomic clones is based on selection for antibiotic resistance encoded in the first open reading frame (ORF) and accumulation of the reporter gene product in tobacco chloroplasts encoded in the second ORF. The antibiotic resistance gene may encode spectinomycin or kanamycin resistance based on the expression of aadA or neo genes, respectively. The reporter gene used in the study is the green fluorescent protein (GFP). The mRNA level depends on the 5'-untranslated region of the first ORF. The protein output depends on the strengths of the ribosome binding, and is proportional with the level of translatable mRNA. Because the dicistronic mRNA is not processed, we could show that protein output from the second ORF is independent from the first ORF. High-level GFP accumulation from the second ORF facilitates identification of transplastomic events under ultraviolet light. Expression of multiple proteins from an unprocessed mRNA is an experimental design that enables predictable protein output from polycistronic mRNAs, expanding the toolkit of plant synthetic biology.

摘要

我们设计了一种双顺反子质体标记系统,该系统依赖于质体翻译多顺反子 mRNA 的能力。转基因克隆的鉴定基于对第一开放阅读框 (ORF) 中编码的抗生素抗性的选择,以及第二 ORF 中编码的烟草叶绿体报告基因产物的积累。抗生素抗性基因可以基于 aadA 或 neo 基因的表达分别编码壮观霉素或卡那霉素抗性。本研究中使用的报告基因是绿色荧光蛋白 (GFP)。mRNA 水平取决于第一个 ORF 的 5'-非翻译区。蛋白质的输出取决于核糖体结合的强度,并与可翻译 mRNA 的水平成正比。由于双顺反子 mRNA 未经加工,我们可以证明第二个 ORF 的蛋白质输出与第一个 ORF 无关。第二个 ORF 高水平 GFP 的积累有助于在紫外线下鉴定转基因事件。从未加工的 mRNA 中表达多种蛋白质是一种实验设计,可以从多顺反子 mRNA 中预测蛋白质的输出,从而扩展植物合成生物学的工具包。

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